TL;DR
Backend/AI Engineer (Python): Building and optimizing core APIs for enterprise document parsing with an accent on integrating LLMs and improving data processing pipelines. Focus on scaling document understanding, enhancing extraction accuracy, and developing internal tools to analyze system performance.
Location: Must be based in San Francisco (Onsite)
Salary: $150,000 – $300,000
Company
hirify.global is an early-stage startup that enables AI teams to ingest and process complex unstructured enterprise data using vision models and LLMs.
What you will do
- Integrate and optimize LLM calls for structured data extraction and document understanding.
- Improve API design and pre-processing algorithms, including chunking and extraction logic.
- Build and scale robust document processing pipelines for diverse file formats.
- Experiment with new techniques to enhance extraction accuracy and minimize latency.
- Develop internal tools and evaluation frameworks to diagnose failure cases.
- Collaborate closely with founders and customers to influence product and engineering strategy.
Requirements
- 2+ years of experience building production-grade applications and integrating LLMs.
- Exceptional proficiency in Python.
- Quantitative approach to product development with the ability to debug and iterate rapidly.
- Strong problem-solving skills and high agency to own the development lifecycle from ideation to delivery.
- Comfortable with hands-on building and tool creation to test hypotheses.
- Must be able to work onsite in San Francisco.
Nice to have
- Prior experience founding a company or working in early-stage startups.
- Expertise in prompt engineering, fine-tuning, or building AI agents.
- Strong interest in the latest ML/AI research developments.
Culture & Benefits
- Comprehensive health insurance covering medical, dental, and vision.
- Unlimited PTO policy.
- Daily free office lunch and transportation reimbursement.
- Monthly $150 health and wellness budget for gym or fitness classes.
- Parental leave support with flexible scheduling.
- Equity offerings in a high-growth, early-stage environment.
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